July 7, 2025

    Unmasking the Power (and RF) Behind AI

    These days, artificial intelligence is everywhere — answering emails, recommending movies, and writing poetry so convincing it can transform an EE major into an English scholar (Spoiler alert: neither discipline prepares fresh grads for the existential dread of being outsmarted by a code-crunching chatbot).

    But amid all the AI fanfare, a different two-letter abbreviation remains underappreciated: RF. That’s right. While everyone’s marveling at what AI can do, I’d like to take a moment to appreciate the unsung hero that helps AI do anything at all — namely, communicate.

    Without RF, AI systems are just isolated brains, sitting quietly in their overheating data rooms thinking thoughts no one can hear. They need a way to connect—to other devices, to the cloud, to each other. And that’s where companies like Qorvo come in.

    Filters: The Unsung Heroes of AI

     At Qorvo, we specialize in solving a rather unglamorous but critical problem: keeping the right signals in and the wrong signals out. Our BAW and SAW filters work tirelessly behind the scenes in AI-enabled devices — smartphones, Wi-Fi routers, smart cars and even industrial robots that look suspiciously like vending machines with arms.

    As the spectrum becomes more congested, ultra-precise filtering is more important than ever. Imagine an AI model trying to distinguish between a cat, a toaster and a smart thermostat while someone’s streaming a 4K video in the next room. It’s chaos — unless you’ve got RF filters that can draw sharp lines between frequencies and give each signal its own lane. That’s what we do. We give AI a clear signal and a clean stage to perform on. No photobombing, no dropped packets, and definitely no mistaking Bluetooth earbuds for a robotic cat.

    Learn how RF filters work, enable wireless connectivity, and drive microwave technology advancements that shape today’s connected world.

     

    Power Management: Because AI is Always Hungry

     Then there’s power. If data is the fuel of AI, specialized power management is the plumbing. Qorvo’s PMICs, battery management ICs and motor control solutions help keep all those RF transceivers and power-hungry systems humming smoothly — and efficiently. AI chips have appetites like teenage athletes: they’re always on and prone to hangry meltdowns if you don’t feed them just right. Whether in a cloud data center or a battery-powered sensor at the edge, our power solutions keep the system cool, stable and less likely to spontaneously combust during a firmware update.

    The Road Ahead: More Filters, More Smarts

     As AI moves into everything from factory automation to self-flying delivery drones (think airborne pepperoni pizzas), the need for compact, high-performance RF front ends will only grow. Qorvo’s ability to integrate BAW filters, power amplifiers, switches and controllers into space- and power-efficient modules gives engineers exactly what they need: performance without headaches.

    And yes, we’re keeping an eye on the next wave, too. AI-powered radar? Ultra-wideband-enabled machine vision? BAW and SAW filters that are smaller, faster and even smarter than the systems they serve? That’s all in our wheelhouse.

    Final Thought: AI Gets the Hype, RF Gets It Done

     So, while AI might be writing the headlines, RF is quietly making the story possible. And here at Qorvo, we’re proud to be part of that story — one filter, amplifier and ET PMIC at a time.

    Let the AI do the thinking. We'll keep it connected.

    About the Author

    Brent Dietz, director of corporate communications at Qorvo, has seen a lot of engineering and technology during 40+ years in the tech industry. His primary role is making geek-speak understandable to the non-geek public, reporters and non-technical analysts. It's challenging — simplifying without distorting — and it helps to have a sense of humor. Brent does, which he shares with Microwave Journal readers from time to time.

    This article first appeared in Brent's Musings in Microwave Journal.

     

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